Enterogenic Stenotrophomonas maltophilia migrates to the mammary gland to induce mastitis by activating the calcium-ROS-AMPK-mTOR-autophagy pathway

Background Mastitis is an inflammatory disease of the mammary gland that has serious economic impacts on the dairy industry and endangers food safety.Our previous study found that the body has a gut/rumen-mammary gland axis and that disturbance of the gut/rumen microbiota could result in‘gastroenterogenic mastitis'.However,the mechanism has not been fully clarified.Recently,we found that long-term feeding of a high-concentrate diet induced mastitis in dairy cows,and the abundance of Stenotrophomonas maltophilia(S.maltophilia)was significantly increased in both the rumen and milk microbiota.Accordingly,we hypothesized that‘gastroenterogenic mastitis'can be induced by the migration of endogenous gut bacteria to the mammary gland.Therefore,this study investigated the mechanism by which enterogenic S.maltophilia induces mastitis.Results First,S.maltophilia was labelled with superfolder GFP and administered to mice via gavage.The results showed that treatment with S.maltophilia promoted the occurrence of mastitis and increased the permeability of the blood-milk barrier,leading to intestinal inflammation and intestinal leakage.Furthermore,tracking of ingested S.maltophilia revealed that S.maltophilia could migrate from the gut to the mammary gland and induce mastitis.Subsequently,mammary gland transcriptome analysis showed that the calcium and AMPK signalling pathways were significantly upregulated in mice treated with S.maltophilia.Then,using mouse mammary epithelial cells(MMECs),we verified that S.maltophilia induces mastitis through activation of the calcium-ROS-AMPK-mTOR-autophagy pathway.Conclusions In conclusion,the results showed that enterogenic S.maltophilia could migrate from the gut to the mammary gland via the gut-mammary axis and activate the calcium-ROS-AMPK-mTOR-autophagy pathway to induce mastitis.Targeting the gut-mammary gland axis may also be an effective method to treat mastitis.

NLRP3-mediated autophagy dysfunction links gut microbiota dysbiosis to tau pathology in chronic sleep deprivation

Emerging evidence indicates that sleep deprivation(SD)can lead to Alzheimer’s disease(AD)-related pathological changes and cognitive decline.However,the underlying mechanisms remain obscure.In the present study,we identified the existence of a microbiota-gut-brain axis in cognitive deficits resulting from chronic SD and revealed a potential pathway by which gut microbiota affects cognitive functioning in chronic SD.Our findings demonstrated that chronic SD in mice not only led to cognitive decline but also induced gut microbiota dysbiosis,elevated NLRP3 inflammasome expression,GSK-3βactivation,autophagy dysfunction,and tau hyperphosphorylation in the hippocampus.Colonization with the“SD microbiota”replicated the pathological and behavioral abnormalities observed in chronic sleep-deprived mice.Remarkably,both the deletion of NLRP3 in NLRP3-/-mice and specific knockdown of NLRP3 in the hippocampus restored autophagic flux,suppressed tau hyperphosphorylation,and ameliorated cognitive deficits induced by chronic SD,while GSK-3βactivity was not regulated by the NLRP3 inflammasome in chronic SD.Notably,deletion of NLRP3 reversed NLRP3 inflammasome activation,autophagy deficits,and tau hyperphosphorylation induced by GSK-3βactivation in primary hippocampal neurons,suggesting that GSK-3β,as a regulator of NLRP3-mediated autophagy dysfunction,plays a significant role in promoting tau hyperphosphorylation.Thus,gut microbiota dysbiosis was identified as a contributor to chronic SD-induced tau pathology via NLRP3-mediated autophagy dysfunction,ultimately leading to cognitive deficits.Overall,these findings highlight GSK-3βas a regulator of NLRP3-mediated autophagy dysfunction,playing a critical role in promoting tau hyperphosphorylation.

Granulomatous mastitis in a 50-year-old male:A case report and review of literature

BACKGROUND Granulomatous mastitis(GM)an inflammatory disease of the breast that usually affects women of childbearing age,occurs very rarely in males.CASE SUMMARY We present a case study of a 50-year-old male patient with GM.The patient developed a breast lump following the cleaning of a previously embedded dirtfilled nipple.While an initial improvement was noted with antibiotic therapy,a recurrence occurred a year later,showing resistance to the previously effective antibiotics.Subsequently,the lesion was excised.The histopathological examination confirmed the diagnosis of GM.CONCLUSION GM should be considered a possible diagnosis of male breast masses.

Prevalence of Mastitis and Associated Risk Factors in Lactating Camels (Camelus Dromedarius) on Dairy Farms in Benadir Region, Somalia

The study took a comprehensive approach to understanding mastitis in lactating camels, a disease that significantly impacts milk quantity and quality. This complex and multifactorial disease poses a significant challenge to dairy camel farming, particularly in Somalia. The studys objective was to determine the prevalence of mastitis and the risk factors associated with it among lactating camels on dairy farms in Benadir, Somalia. To achieve this, a cross-sectional study was conducted from May to September 2022 in the Benadir region of Somalia. A total of 96 lactating camels underwent examination using the California Mastitis Test (CMT) to identify clinical and subclinical mastitis cases. Additionally, a questionnaire survey was conducted among 20 farm employees/owners to gather information on hygiene practices, parity, lactation stage, tick infestation, and the presence of udder/teat lesions. Data regarding parity and lactation stage were obtained through owner interviews. The data collected on specifically designed forms were recorded and entered into a Microsoft Excel spreadsheet for analysis using SPSS version 20 statistical software, ensuring a comprehensive and reliable analysis of the data. The studys findings revealed a significant prevalence of camel mastitis, with 34.4% (33/96) of lactating camels affected and clinical and subclinical cases constituting 5.2% and 29.2%, respectively. Quarter-level prevalence was 46.3%, with clinical and subclinical mastitis at 4.7% and 41.6%, respectively. The study also identified significant associations (P < 0.05) among risk factors such as stage of lactation, parity, and age, indicating a higher susceptibility to mastitis in older camels during early lactation compared to those in late lactation and younger camels. These findings underscore the crucial role of inadequate hygienic conditions on camel farms and udder tick infestations in driving the elevated prevalence of mastitis, highlighting the need for improved management practices in dairy farming in Benadir, Somalia. Effective interventions, including improved management practices and extension services, are essential to reduce the burden of mastitis in dairy camels.

Digital pathology-based artificial intelligence models for differential diagnosis and prognosis of sporadic odontogenic keratocysts

Odontogenic keratocyst(OKC)is a common jaw cyst with a high recurrence rate.OKC combined with basal cell carcinoma as well as skeletal and other developmental abnormalities is thought to be associated with Gorlin syndrome.Moreover,OKC needs to be differentiated from orthokeratinized odontogenic cyst and other jaw cysts.Because of the different prognosis,differential diagnosis of several cysts can contribute to clinical management.We collected 519 cases,comprising a total of 2157 hematoxylin and eosinstained images,to develop digital pathology-based artificial intelligence(AI)models for the diagnosis and prognosis of OKC.The Inception_v3 neural network was utilized to train and test models developed from patch-level images.Finally,whole slide imagelevel AI models were developed by integrating deep learning-generated pathology features with several machine learning algorithms.The AI models showed great performance in the diagnosis(AUC=0.935,95%CI:0.898–0.973)and prognosis(AUC=0.840,95%CI:0.751–0.930)of OKC.The advantages of multiple slides model for integrating of histopathological information are demonstrated through a comparison with the single slide model.Furthermore,the study investigates the correlation between AI features generated by deep learning and pathological findings,highlighting the interpretative potential of AI models in the pathology.Here,we have developed the robust diagnostic and prognostic models for OKC.The AI model that is based on digital pathology shows promise potential for applications in odontogenic diseases of the jaw.

Going straight for the gut:gut-brain axis pathology and treatment of Parkinson's disease

This perspective focuses on the recent literature regarding the role of the gut-brain axis(GBA) in fecal microbiota transplantation(FMT) and stem cell therapy(SCT) in Parkinson's disease(PD).PD is the second most common neurodegenerative disease in the United States,yet therapies remain limited.Current research suggests that the GBA may play a role in the pathogenesis of PD.GBAbased FMT as well as SCT offer promising new avenues for PD treatment.Pro bing the interactions between FMT and SCT with the GBA may reveal novel therapeutics for PD.

Amyloid-beta pathology-induced nanoscale synaptic disruption:the case of the GABA_B-GIRK assembly

Alzheimer's disease (AD) is characterized by an imbalance between excitatory and inhibitory brain networks,leading to aberrant homeostatic synaptic plasticity.AD has progressively been recognized as syna ptopathy and syna ptic dysfunction has been identified as a key component of its pathogenesis (Schirinzi et al.,2020).Syna ptic dysfunction is believed to precede synapse loss,a primary biological correlate of cognitive decline in AD,inevita bly associated with neuronal death.

Research Progress of Zhuang Medicine Combined with Nanogels in Mastitis

Mastitis is a common and frequently-occurring disease among Chinese women, which seriously harms their mental and physical health. External application of Zhuang medicine has the effects of dredging collaterals, relieving pain, promoting blood circulation, removing blood stasis, and softening hardness to dissipate stagnation, and show definite curative effect in preventing and treating breast diseases. Nano-composite hydrogels have the advantages of small toxic and side effects, high bioavailability, high targeting and controllable drug release. Therefore, this paper summarized and analyzed relevant literature of Zhuang medicine in treating breast diseases and clinical research of nanogels, providing new ideas and scientific basis for the treatment of mastitis with Zhuang medicine combined with nanogels.

Hysterectomies for Gynaecological Pathology: 56 Cases at the Segou Regional Hospital in Mali

Introduction: Hysterectomy is a surgical procedure involving partial or total removal of the uterus. It is the most common gynaecological surgery in the world. Objective: To describe the epidemio-clinical and prognostic aspects of gynaecological hysterectomies. Patients and methods: This was an 18-month retrospective prospective descriptive study with a six-month follow-up period from 1 December 2020 to 31 May 2022 carried out in the gynaecology department of the Segou regional hospital. Results: Fifty-six (56) hysterectomies were performed out of 118 gynaecological surgical procedures (47.45%). The mean age was 47 ± 11.77 years. Large multiparous women were the most common (50%), with an average parity of 4.58. The main indications were uterine fibroids (30.4%), precancerous lesions of the cervix (17.85%) and uterine prolapse (17.85%). The abdominal route was the most commonly used surgical route (82.14%). Hysterectomy was total in 100% of cases and associated with bilateral adnexectomy in 48.2% of cases. The intra- and post-operative prognosis was satisfactory in 94.6% of cases. No deaths were recorded. The average length of stay was 3.28 days, irrespective of the surgical approach. Three cases of dyspareunia were noted among those who had resumed sexual activity.

Psychological experience of breastfeeding among primiparous women with lactating mastitis:A qualitative research

Objective:The objective of this study is to comprehensively understand the psychological experience of primiparous women during breastfeeding while dealing with lactating mastitis and to establish a reliable foundation for tailored support measures.Methods:Twenty primiparous mothers from a tertiary hospital in Beijing between January and March 2023 were chosen using purposive sampling for semi-structured interviews.After conducting 20 interviews,data saturation was achieved.The Colaizzi’s seven-step analytical approach was employed to analyze,summarize,and refine the identified themes.Results:Among primiparous women afflicted by lactating mastitis,the primary themes regarding breastfeeding attitudes included three key aspects:(1)uncertainty during the initial diagnosis phase,(2)intricate emotional journey during treatment,and(3)positive psychological outlook during the recovery stage.Conclusion:Primiparous women undergoing lactating mastitis experience substantial physical and psychological strain.It is crucial for medical personnel,family caregivers,and society at large to be attuned to the emotions of these patients.Tailored support measures should be offered to enhance patients’physical and mental well-being and facilitate disease recovery.

Correlation Between Granulomatous Mastitis and Autoimmune Function and the Immuneregulating Role of Traditional Chinese Medicine

Granulomatous mastitis(GM)is a benign granulomatous condition,and its pathogenesis may be related to autoimmune disorders.Cellular immunity,humoral immunity,immunoglobulins,and complement could all play a role in the disease process,showing certain clinical patterns.Corticosteroids can quickly control disease progression,and immunosuppressants can be used for complex and refractory GM cases.In traditional Chinese medicine(TCM),“healthy qi”is similar to immune system function.For GM with deficient healthy qi,TCM treatments such as internal and external herbal applications can help regulate immune function and shorten disease duration by staged and TCM treatment,regulating viscera,reinforcing healthy qi,and eliminating pathogenic factors.

Using MsfNet to Predict the ISUP Grade of Renal Clear Cell Carcinoma in Digital Pathology Images

Clear cell renal cell carcinoma(ccRCC)represents the most frequent form of renal cell carcinoma(RCC),and accurate International Society of Urological Pathology(ISUP)grading is crucial for prognosis and treatment selection.This study presents a new deep network called Multi-scale Fusion Network(MsfNet),which aims to enhance the automatic ISUP grade of ccRCC with digital histopathology pathology images.The MsfNet overcomes the limitations of traditional ResNet50 by multi-scale information fusion and dynamic allocation of channel quantity.The model was trained and tested using 90 Hematoxylin and Eosin(H&E)stained whole slide images(WSIs),which were all cropped into 320×320-pixel patches at 40×magnification.MsfNet achieved a micro-averaged area under the curve(AUC)of 0.9807,a macro-averaged AUC of 0.9778 on the test dataset.The Gradient-weighted Class Activation Mapping(Grad-CAM)visually demonstrated MsfNet’s ability to distinguish and highlight abnormal areas more effectively than ResNet50.The t-Distributed Stochastic Neighbor Embedding(t-SNE)plot indicates our model can efficiently extract critical features from images,reducing the impact of noise and redundant information.The results suggest that MsfNet offers an accurate ISUP grade of ccRCC in digital images,emphasizing the potential of AI-assisted histopathological systems in clinical practice.

Granulomatous lobular mastitis treated by a combined internal and external treatment of traditional Chinese medicine:A case report

BACKGROUND Granulomatous lobular mastitis(GLM)is a rare benign inflammatory disease of the breast and is classified under comedo mastitis in traditional Chinese medicine(TCM).The etiology of this disease is unknown,and it mainly occurs in women of childbearing age.The diagnosis depends on histopathological biopsy.At present,there is no systematic and standardized treatment plan for GLM.In the absence of evidence supporting an infectious etiology,affected patients might continue to receive multiple courses of antibiotics and unnecessary surgery.CASE SUMMARY A 37-year-old Chinese woman with a history of coronavirus disease 2019 infection presented with swelling and pain in the left breast.She also had erythema,nodules in the lower extremities,arthritis in both knees,cough,and headache.In the early stage of GLM,the mass was not significantly reduced by conservative treatment with internal application of TCM;hence,surgical treatment was carried out.The aim of postoperative treatment was to drain the pus,eliminate the necrosed tissue,and expand the muscles;fumigation and washing using TCM was applied.CONCLUSION Combined internal and external treatment with TCM,following the principle of“Prioritize internal treatment before ulceration and emphasize external treatment after ulceration”was effective in our patient with GLM.The prognosis was good.We believe that TCM offered valuable therapeutic benefits in this disease.

Microvascular structural changes in esophageal squamous cell carcinoma pathology according to intrapapillary capillary loop types under magnifying endoscopy

BACKGROUND The intrapapillary capillary loop(IPCL)characteristics,visualized using magnifying endoscopy,are commonly assessed for preoperative evaluation of the infiltration depth of esophageal squamous cell carcinoma(ESCC).Japan Esophageal Society(JES)classification is the most widely used classification.Microvascular structural changes are evaluated by magnifying endoscopy for the presence or absence of each morphological factor:tortuosity,dilatation,irregular caliber,and different shapes.However,the pathological characteristics of IPCLs have not been thoroughly investigated,especially the microvascular structures corresponding to the deepest parts of the lesions'infiltration.AIM To investigate differences in pathological microvascular structures of ESCC,which correspond to the deepest parts of the lesions'infiltration.METHODS Patients with ESCC and precancerous lesions diagnosed at Peking University Third Hospital were enrolled between January 2019 and April 2023.Patients first underwent magnified endoscopic examination,followed by endoscopic submucosal dissection or surgical treatment.Pathological images were scanned using a threedimensional slice scanner,and the pathological structural differences in different types,according to the JES classification,were analyzed using nonparametric tests and t-tests.RESULTS The 35 lesions were divided into four groups according to the JES classification:A,B1,B2,and B3.Statistical analyses revealed significant differences(aP<0.05)in the short and long calibers,area,location,and density between types A and B.Notably,there were no significant differences in these parameters between types B1 and B2 and between types B2 and B3(P>0.05).However,significant differences in the short calibers,long calibers,and area of IPCL were observed between types B1 and B3(aP<0.05);no significant differences were found in the density or location(P>0.05).CONCLUSION Pathological structures of IPCLs in the deepest infiltrating regions differ among various IPCL types classified by the JES classification under magnifying endoscopy,especially between the types A and B.

A Multi-Task Deep Learning Framework for Simultaneous Detection of Thoracic Pathology through Image Classification

Thoracic diseases pose significant risks to an individual's chest health and are among the most perilous medical diseases. They can impact either one or both lungs, which leads to a severe impairment of a person’s ability to breathe normally. Some notable examples of such diseases encompass pneumonia, lung cancer, coronavirus disease 2019 (COVID-19), tuberculosis, and chronic obstructive pulmonary disease (COPD). Consequently, early and precise detection of these diseases is paramount during the diagnostic process. Traditionally, the primary methods employed for the detection involve the use of X-ray imaging or computed tomography (CT) scans. Nevertheless, due to the scarcity of proficient radiologists and the inherent similarities between these diseases, the accuracy of detection can be compromised, leading to imprecise or erroneous results. To address this challenge, scientists have turned to computer-based solutions, aiming for swift and accurate diagnoses. The primary objective of this study is to develop two machine learning models, utilizing single-task and multi-task learning frameworks, to enhance classification accuracy. Within the multi-task learning architecture, two principal approaches exist soft parameter sharing and hard parameter sharing. Consequently, this research adopts a multi-task deep learning approach that leverages CNNs to achieve improved classification performance for the specified tasks. These tasks, focusing on pneumonia and COVID-19, are processed and learned simultaneously within a multi-task model. To assess the effectiveness of the trained model, it is rigorously validated using three different real-world datasets for training and testing.

Expanding role and scope of artificial intelligence in the field of gastrointestinal pathology

Digital pathology(DP)and its subsidiaries including artificial intelligence(AI)are rapidly making inroads into the area of diagnostic anatomic pathology(AP)including gastrointestinal(GI)pathology.It is poised to revolutionize the field of diagnostic AP.Historically,AP has been slow to adopt digital technology,but this is changing rapidly,with many centers worldwide transitioning to DP.Coupled with advanced techniques of AI such as deep learning and machine learning,DP is likely to transform histopathology from a subjective field to an objective,efficient,and transparent discipline.AI is increasingly integrated into GI pathology,offering numerous advancements and improvements in overall diagnostic accuracy,efficiency,and patient care.Specifically,AI in GI pathology enhances diagnostic accuracy,streamlines workflows,provides predictive insights,integrates multimodal data,supports research,and aids in education and training,ultimately improving patient care and outcomes.This review summarized the latest developments in the role and scope of AI in AP with a focus on GI pathology.The main aim was to provide updates and create awareness among the pathology community.

Mycoplasma leachii causes bovine mastitis: Evidence from clinical symptoms,histopathology and immunohistochemistry

Twelve quarters of six lactating cows were inoculated with Mycoplasma leachii strain GN407 through intramammary ductal infusion; another 12 quarters were inoculated with heat-inactivated M.leachii culture medium as negative controls.Multidisciplinary procedures,including clinical assessment,etiology assessment,pathology and immunohistochemistry(IHC),were used to elucidate the pathogenicity of M.leachii in bovine mastitis.From post-inoculation days(PIDs) 3 to 9,12 inoculated quarters developed mild to severe clinical mastitis and mammary tissue histopathological changes,including inflammatory cell infiltration and architectural destruction of mammary gland ducts.The M.leachii antigen was also detected by IHC in the mammary gland epithelial cells of the inoculated quarters as a weak signal on PID 6 and as a strong signal on PID 9.The control quarters also developed mild mastitis and histopathological changes on PID 9,and M.leachii was also detected by IHC.Throughout the experimental period,the quarters of the negative control cow were clinically and pathologically normal,and the M.leachii antigen was not detected.In conclusion,direct histological and immunohistochemical evidence confirmed that M.leachii causes clinical bovine mastitis through histopathological lesions induced by invasion of the pathogen into mammary gland cells and through inflammatory cell infiltration.

Heterogeneity of Outcomes Reporting in Trials Evaluating Traditional Chinese Medicine Breast Massage for Stasis Acute Mastitis: A Methodological Review

Objective To systematically analyze the current status of outcomes reporting in clinical trials on treating stasis acute mastitis with Traditional Chinese Medicine breast massage.Methods We searched CNKI,Wanfang,VIP,Sino Med,Pub Med,Web of Science,Embase,Cochrane library,JBI,CINAHL,Psyc INFO,Clinical Trials Registry Platform portal,Clinical Trials Registry,Australian New Zealand Clinical Trials Registry,Center Watch Registry from inception to May 15,2022 to find randomized controlled trials,non-randomized controlled trials,case series and cohort studies which reported the outcomes of stasis acute mastitis managed with Traditional Chinese Medicine breast massage,with search terms of mastitis,acute mastitis,lactation mastitis,puerperal mastitis,breast problem,breast engorgement,milk stasis,blocked ducked,breast pain,breast massage,and acupoint massage.Outcomes and the measurement schemes(measurement methods,timing of assessing outcome,frequency of assessing outcome,measurers)were extracted from the included studies.We used the Management of Otitis Media with Effusion in Children with Cleft Palate(MOMENT)to assess the quality of each study,then categorized outcomes derived from the included studies into different domains according to the Outcome Measures in Rheumatology Arthritis Clinic Trials(OMERACT)Filter 2.1 framework.Results We identified 85 clinical trials,in which 54 different outcomes were reported.A total of 81.2%(69/85)of studies were assessed as medium quality with a mean score of 2.6,and 18.8%(16/85)as low quality with a mean score of 0.9.These outcomes were organized in three core areas.Lump size(89.4%,76/85)was the most frequently reported outcome,followed by breast pain(69.4%,59/85)and milk excretion(68.2%,58/85).Five methods were used to assess lump size and four methods to assess breast pain.Conclusions The outcomes reported in clinical trials regarding stasis acute mastitis treated by Traditional Chinese Medicine breast massage are heterogeneous.Developing a core outcome set to achieve consistent standards for reporting outcomes and modalities for validation of the outcomes is clearly warranted.

Methylome and transcriptome data integration reveals potential roles of DNA methylation and candidate biomarkers of cow Streptococcus uberis subclinical mastitis

Background:Mastitis caused by different pathogens including Streptococcus uberis(S.uberis)is responsible for huge economic losses to the dairy industry.In order to investigate the potential genetic and epigenetic regulatory mecha‑nisms of subclinical mastitis due to S.uberis,the DNA methylome(whole genome DNA methylation sequencing)and transcriptome(RNA sequencing)of milk somatic cells from cows with naturally occurring S.uberis subclinical mastitis and healthy control cows(n=3/group)were studied.Results:Globally,the DNA methylation levels of CpG sites were low in the promoters and first exons but high in inner exons and introns.The DNA methylation levels at the promoter,first exon and first intron regions were nega‑tively correlated with the expression level of genes at a whole‑genome‑wide scale.In general,DNA methylation level was lower in S.uberis‑positive group(SUG)than in the control group(CTG).A total of 174,342 differentially methylated cytosines(DMCs)(FDR<0.05)were identified between SUG and CTG,including 132,237,7412 and 34,693 DMCs in the context of CpG,CHG and CHH(H=A or T or C),respectively.Besides,101,612 methylation haplotype blocks(MHBs)were identified,including 451 MHBs that were significantly different(dMHB)between the two groups.A total of 2130 differentially expressed(DE)genes(1378 with up‑regulated and 752 with down‑regulated expression)were found in SUG.Integration of methylome and transcriptome data with MethGET program revealed 1623 genes with signifi‑cant changes in their methylation levels and/or gene expression changes(MetGDE genes,MethGET P‑value<0.001).Functional enrichment of genes harboring≥15 DMCs,DE genes and MetGDE genes suggest significant involvement of DNA methylation changes in the regulation of the host immune response to S.uberis infection,especially cytokine activities.Furthermore,discriminant correlation analysis with DIABLO method identified 26 candidate biomarkers,including 6 DE genes,15 CpG‑DMCs and 5 dMHBs that discriminated between SUG and CTG.Conclusion:The integration of methylome and transcriptome of milk somatic cells suggests the possible involve‑ment of DNA methylation changes in the regulation of the host immune response to subclinical mastitis due to S.uberis.The presented genetic and epigenetic biomarkers could contribute to the design of management strategies of subclinical mastitis and breeding for mastitis resistance.

Axial length,vitreoretinal pathology,and anterior chamber depth can predict postoperative refractive outcomes in phacovitrectomy/silicone oil removal

AIM:To evaluate the postoperative refractive prediction error(PE)and determine the factors that af fect the refractive outcomes of combined pars plana vitrectomy(PPV)or silicone oil removal(SOR)with cataract surgery.METHODS:The study is a retrospective,case-series study.Totally 301 eyes of 301 patients undergoing combined PPV/SOR with cataract surgery were enrolled.Eligible individuals were separated into four groups according to their preoperative diagnoses:silicone oil-filled eyes after PPV(group 1),epiretinal membrane(group 2),macular hole(group 3),and primary retinal detachment(RD;group 4).The variables af fecting postoperative refractive outcomes were analyzed,including age,gender,preoperative best-corrected visual acuity(BCVA),axial length(AL),keratometry average,anterior chamber depth(ACD),intraocular tamponade,and vitreoretinal pathology.The outcome measurements include the mean refractive PE and the proportions of eyes with a PE within±0.50 diopter(D)and±1.00 D.RESULTS:For all patients,the mean PE was-0.04±1.17 D,and 50.17%of patients(eyes)had a PE within±0.50 D.There was a significant difference in refractive outcomes among the four groups(P=0.028),with RD(group 4)showing the least favorable refractive outcome.In multivariate regression analysis,only AL,vitreoretinal pathology,and ACD were strongly associated with PE(all P<0.01).Univariate analysis revealed that longer eyes(AL>26 mm)and a deeper ACD were correlated with hyperopic PE,and shorter eyes(AL<26 mm)and a shallower ACD were correlated with myopic PE.CONCLUSION:RD patients have the least favorable refractive outcome.AL,vitreoretinal pathology,and ACD are strongly associated with PE in the combined surgery.These three factors affect refractive outcomes and thus can be used to predict a better postoperative refractive outcome in clinical practice.